From fbaa4bd7bd3d896f7f80d8109c9dbddb1f828217 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 15:28:45 -0400 Subject: [PATCH 01/44] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7ef6986e1cf..b1e01bedf6e 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@

- PennyLane is a cross-platform Python library for + PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and From d11594973361a704859e11798e2a2113efd1a654 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 16:18:00 -0400 Subject: [PATCH 02/44] Update keyfeatures Updated to match https://pennylane.ai/features/ page listed features. These features will also be listed on the upcoming research page. --- README.md | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index b1e01bedf6e..ea31903d83a 100644 --- a/README.md +++ b/README.md @@ -47,23 +47,15 @@ -- *Machine learning on quantum hardware*. Connect to quantum hardware using **PyTorch**, **TensorFlow**, **JAX**, **Keras**, or **NumPy**. Build rich and flexible hybrid quantum-classical models. +- *Program quantum computers*. Build flexible quantum circuits with a wide range of state preparations, gates, and measurements. Run on high-performance simulators or various hardware devices, with advanced features like mid-circuit measurements and error mitigation. -- *Just in time compilation*. Experimental support for just-in-time - compilation. Compile your entire hybrid workflow, with support for - advanced features such as adaptive circuits, real-time measurement - feedback, and unbounded loops. See - [Catalyst](https://github.com/pennylaneai/catalyst) for more details. +- *Integrate with Machine learning*. Integrate with **PyTorch**, **TensorFlow**, **JAX**, **Keras**, or **NumPy** to define and train hybrid models using quantum-aware optimizers and hardware-compatible gradients for advanced research tasks. -- *Device-independent*. Run the same quantum circuit on different quantum backends. Install - [plugins](https://pennylane.ai/plugins.html) to access even more devices, including **Strawberry - Fields**, **Amazon Braket**, **IBM Q**, **Google Cirq**, **Rigetti Forest**, **Qulacs**, **Pasqal**, **Honeywell**, and more. +- *Master quantum algorithms*. From NISQ applications like VQE to fault-tolerant quantum computing, unlock algorithms for research and application. Analyze performance, visualize circuits, and access tools for quantum chemistry and QAOA. Scale up with circuit cutting and explore pulse-level and qutrit representations. -- *Follow the gradient*. Hardware-friendly **automatic differentiation** of quantum circuits. +- *Quantum Datasets*. Access high-quality, pre-simulated datasets to decrease time-to-research and accelerate algorithm development. Easily [browse the datasets](https://pennylane.ai/datasets/) or contribute your own data. -- *Batteries included*. Built-in tools for **quantum machine learning**, **optimization**, and - **quantum chemistry**. Rapidly prototype using built-in quantum simulators with - backpropagation support. +- *Compilation and performance*. Capture hybrid quantum-classical workflows with just-in-time compilation, scaling from CPU to GPU. Decompose circuits into hardware-compatible gates and access high-performance simulators with fast quantum circuit differentiation. Easily install via pip, Conda, Spack, or Docker. See [Catalyst](https://github.com/pennylaneai/catalyst) for more details. ## Installation From dbe9ec79c9d411f0f2b8e19e22cdb61deadc6058 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 16:18:48 -0400 Subject: [PATCH 03/44] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ea31903d83a..06a1595647f 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@

- PennyLane is a cross-platform Python library for + PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and From 938c5692ad7a38a985cf76a32e9c22c8cd7601b1 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 16:31:20 -0400 Subject: [PATCH 04/44] update key features copy --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 06a1595647f..309d55f756e 100644 --- a/README.md +++ b/README.md @@ -47,15 +47,15 @@ -- *Program quantum computers*. Build flexible quantum circuits with a wide range of state preparations, gates, and measurements. Run on high-performance simulators or various hardware devices, with advanced features like mid-circuit measurements and error mitigation. +- *Program quantum computers*. Build quantum circuits with a wide range of state preparations, gates, and measurements. Run on [high-performance simulators](https://pennylane.ai/performance/) or various hardware devices, with advanced features like mid-circuit measurements and error mitigation. -- *Integrate with Machine learning*. Integrate with **PyTorch**, **TensorFlow**, **JAX**, **Keras**, or **NumPy** to define and train hybrid models using quantum-aware optimizers and hardware-compatible gradients for advanced research tasks. +- *Integrate with machine learning*. Integrate with **PyTorch**, **TensorFlow**, **JAX**, **Keras**, or **NumPy** to define and train hybrid models using quantum-aware optimizers and hardware-compatible gradients for advanced research tasks. [Quantum machine learning quick start](https://docs.pennylane.ai/en/stable/introduction/interfaces.html). -- *Master quantum algorithms*. From NISQ applications like VQE to fault-tolerant quantum computing, unlock algorithms for research and application. Analyze performance, visualize circuits, and access tools for quantum chemistry and QAOA. Scale up with circuit cutting and explore pulse-level and qutrit representations. +- *Master quantum algorithms*. From NISQ applications like VQE to fault-tolerant quantum computing, unlock algorithms for research and application. Analyze performance, visualize circuits, and access tools for [quantum chemistry](https://docs.pennylane.ai/en/stable/introduction/chemistry.html) and QAOA. Scale up with circuit cutting and explore pulse-level and qutrit representations. -- *Quantum Datasets*. Access high-quality, pre-simulated datasets to decrease time-to-research and accelerate algorithm development. Easily [browse the datasets](https://pennylane.ai/datasets/) or contribute your own data. +- *Quantum datasets*. Access high-quality, pre-simulated datasets to decrease time-to-research and accelerate algorithm development. Easily [browse the datasets](https://pennylane.ai/datasets/) or contribute your own data. -- *Compilation and performance*. Capture hybrid quantum-classical workflows with just-in-time compilation, scaling from CPU to GPU. Decompose circuits into hardware-compatible gates and access high-performance simulators with fast quantum circuit differentiation. Easily install via pip, Conda, Spack, or Docker. See [Catalyst](https://github.com/pennylaneai/catalyst) for more details. +- *Compilation and performance*. Capture hybrid quantum-classical workflows with just-in-time compilation, scaling from CPU to GPU. Decompose circuits into hardware-compatible gates and access high-performance simulators with fast quantum circuit differentiation. Easily install via pip, Conda, Spack, or Docker. See [Catalyst](https://github.com/pennylaneai/catalyst) for more details. ## Installation From 88eae76726d64acd77c51d9a9254aac36377f969 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 16:59:27 -0400 Subject: [PATCH 05/44] Update Demos section --- README.md | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 309d55f756e..eebd0f915b5 100644 --- a/README.md +++ b/README.md @@ -91,18 +91,14 @@ and detailed developer guides on [how to write your own](https://pennylane.readthedocs.io/en/stable/development/plugins.html) PennyLane-compatible quantum device. -## Tutorials and demonstrations +## Demos -Take a deeper dive into quantum machine learning by exploring cutting-edge algorithms on our [demonstrations -page](https://pennylane.ai/qml/demonstrations.html). +Take a deeper dive into quantum computing by exploring cutting-edge algorithms using PennyLane and quantum hardware. [Explore PennyLane demos](https://pennylane.ai/qml/demonstrations.html). -All demonstrations are fully executable, and can be downloaded as Jupyter notebooks and Python -scripts. - If you would like to contribute your own demo, see our [demo submission guide](https://pennylane.ai/qml/demos_submission.html). From 8cdd1c66fa5595b13921822bc95e998c9277df9c Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 17 Oct 2024 17:33:42 -0400 Subject: [PATCH 06/44] add research applications section, remove videos --- README.md | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index eebd0f915b5..ecdcb5081de 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@

- Train a quantum computer the same way as a neural network. + The definitive open-source Python framework for quantum programming. Built by researchers, for research. - +

## Key Features @@ -84,7 +84,7 @@ Get up and running quickly with PennyLane by following our [quickstart guide](ht Whether you're exploring quantum machine learning (QML), quantum computing, or quantum chemistry, PennyLane offers a wide range of tools and resources to support your research: - + ### Key Resources: From e309c1638ffbf091adb8911ac38438cc059bee98 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 7 Nov 2024 15:51:19 -0500 Subject: [PATCH 41/44] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0e0def4301c..8f429dd01c8 100644 --- a/README.md +++ b/README.md @@ -106,7 +106,7 @@ quantum device. Take a deeper dive into quantum computing by exploring cutting-edge algorithms using PennyLane and quantum hardware. [Explore PennyLane demos](https://pennylane.ai/qml/demonstrations.html). - + If you would like to contribute your own demo, see our [demo submission From b9dd0954b294d726c2a86b743193eb1348412c95 Mon Sep 17 00:00:00 2001 From: Justin Pickering <79890410+justinpickering@users.noreply.github.com> Date: Thu, 7 Nov 2024 15:52:40 -0500 Subject: [PATCH 42/44] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8f429dd01c8..730fa25c508 100644 --- a/README.md +++ b/README.md @@ -35,7 +35,7 @@

The definitive open-source framework for quantum programming. Built by researchers, for research. - + - +

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